Triple
T13651611
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SFR |
E326752
|
entity |
| Predicate | parentCompany |
P254
|
FINISHED |
| Object | Altice France |
E308338
|
NE FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Altice France | Statement: [SFR, parentCompany, Altice France]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Altice France Context triple: [SFR, parentCompany, Altice France]
-
A.
Altice NV
chosen
Altice NV is a multinational telecommunications and cable company that expanded its presence in the U.S. and Europe through major acquisitions in the broadband, pay-TV, and mobile markets.
-
B.
Altice USA
Altice USA is a major American telecommunications and media company that provides cable television, internet, and phone services under brands such as Optimum.
-
C.
France Télécom
France Télécom was the former state-owned French telecommunications company that evolved into Orange S.A., a major global telecom operator.
-
D.
Liberty Global
Liberty Global is a multinational telecommunications and television company that operates cable, broadband, and media services across Europe and other regions.
-
E.
Bouygues
Bouygues is a major French industrial group primarily active in construction, real estate development, media, and telecommunications.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d8076d8270819092afc2f0e9c359a8 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbc609676c8190b5b1cabe6b315142 |
completed | April 12, 2026, 4:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f78affa3c481909dba71e2ce9f44c1 |
completed | May 3, 2026, 5:50 p.m. |
Created at: April 9, 2026, 9:52 p.m.